DEVELOPMENT AND ANALYSIS OF A HYBRID ELECTRICITY GENERATION SYSTEM USING SOLAR ENERGY AND WIND ENERGY
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Abstract
Because of the disadvantages linked with the utilization of fossil fuels, eventually a rising interest in increasing the adoption of renewable energy systems. Nonetheless, integrating renewable energy systems into the grid poses numerous challenges concerning constancy, consistency, system operation, and power quality. Lesser hybrid renewable energy systems (HRES) are compact power systems that encompass energy sources and storage units to efficiently manage energy production and consumption. Real-time monitoring of HRES is crucial as it provides precise data for the system operator to assess overall performance and detect any anomalies. In this study, an IoT-based design for HRES is presented, comprising a wind turbine and a photovoltaic system. The suggested design comprises four distinct layers: power, data collection, communication network, and application. Given the wide display of communication technologies available and the lack of a standardized communication framework for HRES (Hybrid Renewable Energy Systems), this study introduces communication models specifically customized for HRES. The monitoring factors are grouped into three categories: electrical, grade, and environmental data. Additionally, the research incorporates network modeling and mockup, with special responsiveness to vital features like network arrangement, link capacity, and latency, all of which are widely analyzed and discussed. Besides, the collective interest in renewable energy systems is driven by the awareness of the downsides connected with the widespread use of remnant fuels, such as pollution and climate change. Governments, industries, and individuals have recognized the urgency to transition on the way to cleaner and more viable energy sources. As renewable energy systems become more prevalent, the integration of these systems into the existing power grid becomes a complex and multifaceted challenge. The successful integration requires addressing issues related to structure operation, ensuring steadiness and consistency, and continuing high power value to meet the demands of consumers. Small hybrid renewable energy systems (HRES) have emerged as a viable solution to harness energy from multiple sources and manage it efficiently. These compact systems v combine various renewable energy sources, such as wind turbines and photovoltaic systems, along using energy storage units. By intelligently optimizing energy production and consumption, HRES can offer a reliable and constant power supply. Real-time monitoring of HRES is crucial for their effective operation. It enables the system operator to access accurate and up-to-date information about the system's performance. This information is vital for making informed decisions, optimizing energy utilization, and promptly identifying and resolving any abnormal conditions or malfunctions. To ease real-time monitoring, this work proposes an Internet of Things (IoT) based architecture for HRES. The architecture is designed with four distinct layers to facilitate efficient data flow and communication. The power layer is responsible for energy generation and storage, while the data acquisition layer collects relevant data from various sensors and devices. The communication network layer ensures seamless connectivity between different components of the HRES architecture, enabling smooth data transfer. To end with, the application layer processes and analyzes the collected data to offer meaningful perceptions to the system operator. Lastly, one of the significant challenges faced in HRES monitoring is the absence of a standardized communication model. To address this issue, the work defines communication models specifically tailored for HRES. These models aim to establish a common framework for communication, enabling different components to exchange data efficiently
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